Fast planning through planning graph analysis
Artificial Intelligence
Online algorithms for market clearing
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
The ZEUS Agent Building Tool-kit
BT Technology Journal
Generating Coalition Structures with Finite Bound from the Optimal Guarantees
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
HTN planning for Web Service composition using SHOP2
Web Semantics: Science, Services and Agents on the World Wide Web
Software engineering for large-scale multi-agent systems
Intelligent agent framework for order entry and management
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Mining event logs to support workflow resource allocation
Knowledge-Based Systems
| Hi-index | 0.00 |
Recently many vendors and groups have advocated using BPEL and WS-BPEL as a workflow language to encapsulate business logic. While encapsulating workflow and process logic in one place is a sensible architectural decision, the implementation of complex workflows suffers from the same problems that made managing and maintaining hierarchical procedural programs difficult. BPEL lacks constructs for logical modularity such as the requirements construct from the STL [STL 2003, Introduction to the STL. Available from: .] or the ability to adapt constructs like pure abstract classes for the same purpose. We describe a system that uses semantic web and agent concepts to implement an abstraction layer for BPEL based on the notion of Goals and service typing. AI planning was used to enable process engineers to create and validate systems that used services and goals as first class concepts and compiled processes at run time for execution.